VP, Equities Tech — Java & Low-Latency Market Data

Citi

Belfast City District

On-site

GBP 55,000 - 90,000

Full time

22 hours ago
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Job summary

Citi in Belfast is seeking a skilled Software Developer to extend the Global Market Data platform. You will work on low-latency market data systems, primarily with Java and Perl/Shell scripting, collaborating with traders and production teams to diagnose issues and deliver new functionality.

Join a Technology team focused on scalable services and microservices, with opportunities to learn equity trading concepts while contributing to market data improvements in a fast-paced financial environment.

Qualifications

  • Strong Java experience, including low-latency contexts.
  • Ability to meet tight deadlines as part of a team.
  • Experience diagnosing real-world issues with traders and production support.
  • Effective communication across diverse teams.
  • Good understanding of Multicast/TCP/IP network protocols.
  • Nice-to-have: C++ experience.
  • Familiar with microservices architecture.
  • Knowledge of finance industry is a plus.
  • Experience with unit testing and agile methodologies.
  • Familiar with JIRA, Confluence, GIT, and uDeploy.
  • Knowledge of low latency, network concurrency and server configuration.

Responsibilities

  • On-going development of new functionality for the Global Market Data platform.
  • Collaborate with traders and production support to diagnose issues.
  • Design and implement enhancements to market data systems.

Skills

Java
Perl/Shell scripting
Low latency
C++
Equities knowledge
KDB
Network protocols

Tools

JIRA
Confluence
GIT
uDeploy

Job description

Citi in Belfast is seeking a skilled Software Developer to extend the Global Market Data platform. You will work on low-latency market data systems, primarily with Java and Perl/Shell scripting, collaborating with traders and production teams to diagnose issues and deliver new functionality.

Join a Technology team focused on scalable services and microservices, with opportunities to learn equity trading concepts while contributing to market data improvements in a fast-paced financial environment.

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